Evidence map›Paper›PMID 42891250›Full record

Trial reportJTCVS techniques2026

Extended reality-assisted localization of lung nodules in a hybrid operating room: A prospective study.

Chih-Hsiang Chang, Ning Chien, Hsien-Yuan Hsieh, Kuang-Chen Yen, Yu-An Zheng, Yi-Ching Lee, Yang-Sheng Chen, Xu-Heng Chiang, Ping-Hsuan Han, Mong-Wei Lin and 3 more

Abstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in JTCVS techniques, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Chih-Hsiang ChangDivision of Thoracic Surgery, Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
Ning ChienDepartment of Medical Imaging, National Taiwan University Cancer Center, Taipei, Taiwan.
Hsien-Yuan HsiehGraduate Institute of Networking and Multimedia, College of Electrical Engineering and Computer Science, National Taiwan University, Taipei, Taiwan.
Kuang-Chen YenDepartment of Medical Imaging, National Taiwan University Cancer Center, Taipei, Taiwan.
Yu-An ZhengDivision of Thoracic Surgery, Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
Yi-Ching LeeGraduate Institute of Networking and Multimedia, College of Electrical Engineering and Computer Science, National Taiwan University, Taipei, Taiwan.
Yang-Sheng ChenGraduate Institute of Networking and Multimedia, College of Electrical Engineering and Computer Science, National Taiwan University, Taipei, Taiwan.
Xu-Heng ChiangDivision of Thoracic Surgery, Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
Ping-Hsuan HanDepartment of Interaction Design, National Taipei University of Technology, Taipei, Taiwan.
Mong-Wei LinDivision of Thoracic Surgery, Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
Hsao-Hsun HsuDivision of Thoracic Surgery, Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
Yi-Ping HungGraduate Institute of Networking and Multimedia, College of Electrical Engineering and Computer Science, National Taiwan University, Taipei, Taiwan.
Jin-Shing ChenDivision of Thoracic Surgery, Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the feasibility, accuracy, and safety of a novel extended reality-assisted percutaneous localization technique in a hybrid operating room for patients with small pulmonary nodules. Methods: In this prospective, single-arm study, 20 adult patients scheduled for video-assisted thoracoscopic surgery sublobar resection for peripheral pulmonary nodules (2 cm or less) were enrolled. Participants underwent extended reality-guided percutaneous dye localization under general anesthesia. Patient-specific 3-dimensional holographic models were registered using optical markers to guide needle insertion, followed by confirmatory cone-beam computed tomography. The primary outcomes were technical accuracy and procedural safety. Results: The extended reality-assisted technique achieved a 90% technical success rate. The mean localization error was 7.9 mm in the intention-to-treat population. The procedure was efficient, with a median localization time of 13.5 minutes and a median of 1 confirmatory cone-beam computed tomography scan. The complication rate was 5%, involving a single case of pneumothorax; no intrapulmonary hemorrhage or air embolism occurred. Conclusions: Extended reality-assisted percutaneous localization in a hybrid operating room is feasible and safe, demonstrating acceptable accuracy for small pulmonary nodules. This approach may streamline surgical workflow by enabling continuous needle advancement and reducing repetitive interruptions compared with conventional cone-beam computed tomography guidance.

Indexed as

cone-beam computed tomographyextended realityhybrid operating roomlocalizationpulmonary nodulesublobar resectionvideo-assisted thoracoscopic surgery

Identifiers

PMID42891250
PMCPMC13674026

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.